Intelligent modeling of rheological and thermophysical properties of nanoencapsulated PCM slurry

Jirandeh, Mohhammad Reza Hashemi; Mohammadiun, Mohammad; Mohammadiun, Hamid; Dubaie, Mohammad Hosein; Sadi, Meisam

doi:10.1002/htj.21709

Cited by 13 publications

(5 citation statements)

References 43 publications

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“…However, the advantages of PCMS have made it a growing topic in different areas and several empirical correlations are proposed to calculate its characteristic properties. In this regard, Jirandeh et al [15] presented an empirical correlation for NPCMS using artificial neural networks and colony optimization. The model is derived by investigating AP-25 particles surrounded by a Styrene shell in Newtonian fluid flow conditions within the test region.…”

Section: Experimental Studiesmentioning

confidence: 99%

A review on recent progresses of nano/micro encapsulated phase change material slurries

Ghasemi,

Tasnim,

Mahmud

2023

Progress in Canadian Mechanical Engineering. Volume 6

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Heat transfer fluids play a significant role in cooling or heating systems to maintain or obtain a particular temperature. A relatively novel concept is adding nano/microencapsulated phase change material (N/MPCM) to the carrier fluid to increase the heat capacity and improve the heat transfer rate. However, the applicability of using particles and their performance demand further investigations. In this study, a review of the recent progress has been made on using N/MPCM slurry as the working fluid is provided. The effects of particles' thermophysical properties, including size, concentration, melting point and enthalpy, on different performance indicators such as exergy, efficiency, pumping power and performance evaluation criterion are among the covered topics. Although the promising potentials of MPCM slurry have increased interest in this field, there are still significant research gaps in the literature that are suggested for future investigations.

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Section: Experimental Studiesmentioning

confidence: 99%

A review on recent progresses of nano/micro encapsulated phase change material slurries

Ghasemi,

Tasnim,

Mahmud

2023

Progress in Canadian Mechanical Engineering. Volume 6

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“…Various ways of increasing their thermal conductivity have been tested, including the direct addition of materials with a high thermal conductivity (e.g., metal particles) to PCMs [9]; the use of additional ribbing to increase the heat exchange surface [10]; placing the PCM in a porous conductive structure [11,12] or metallic foams [9,13]; and encapsulation-collecting PCMs in a large number of small shells. The encapsulation of the PCM allows for the initiation of the phase change simultaneously Energies 2023, 16, 6926 2 of 14 in all washed containers. Encapsulation techniques can be divided into macro-, micro-, and nanoencapsulation [14,15].…”

Section: Introductionmentioning

confidence: 99%

“…Encapsulation techniques can be divided into macro-, micro-, and nanoencapsulation [14,15]. Microencapsulation is a process in which PCM particles (with a diameter of about 0.1-1000 µm) are covered with a thin layer of a natural or synthetic polymer with a thickness of several micro-or even nanometers [16][17][18]. In consequence, the encapsulated PCM is used as a passive heat energy storage in building materials, filling building spaces for cooling and heating rooms, as an additive in textiles, among others [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Experimental Studies of the Pressure Drop in the Flow of a Microencapsulated Phase-Change Material Slurry in the Range of the Critical Reynolds Number

Dutkowski,

Kruzel,

Kochanowska

2023

Energies

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Phase-change materials (PCMs) are attractive materials for storing thermal energy thanks to the energy supplied/returned during the change in matter state. The encapsulation of PCMs prevent them from connecting into large clusters, prevents the chemical interaction of the PCM with the walls of the tank and the exchanger material, and allows the phase change to be initiated in parallel in each capsule. The microencapsulation of PCMs (mPCMs) and the nanoencapsulation of PCMs (nPCMs) entail that these particles added to the base liquid can act as a slurry used in heat exchange systems. PCM micro-/nanocapsules or mPCM (nPCM) slurry are subjected to numerous physical, mechanical, and rheological tests. However, flow tests of mPCM (nPCM) slurries are significantly limited. This paper describes the results of detailed adiabatic flow tests of mPCM slurry in a tube with an internal diameter of d = 4 mm and a length of L = 400 mm. The tests were conducted during laminar, transient, and turbulent flows (Re < 11,250) of mPCM aqueous slurries with concentrations of 4.30%, 6.45%, 8.60%, 10.75%, 12.90%, 15.05%, and 17.20%. The mPCM slurry had a temperature of T = 7 °C (the microcapsule PCM was a solid), T = 24 °C (the microcapsule PCM was undergoing a phase change), and T = 44 °C (the microcapsule PCM was a liquid). This work aims to fill the research gap on the effect of the mPCM slurry concentration on the critical Reynolds number. It was found that the concentration of the mPCM has a significant effect on the critical Reynolds number, and the higher the concentration of mPCM in the base liquid, the more difficult it was to keep the laminar flow. Additionally, it was observed that, as yet unknown in the literature, the temperature of the slurry (and perhaps the physical state of the PCM in the microcapsule) may affect the critical Reynolds number.

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“…In AI based models, some of the properties of PCM and nano particle are used to predict some of the thermophysical properties of NEPCM [27]. The NEPCMs are classified as nano fluid in most of the literature however these materials experience a phase change process and are not utilized in liquid phase only.…”

Section: Introductionmentioning

confidence: 99%

“…Nevertheless, there is many AI based models for nanofluid but they are not valid for NEPCMs and just few studies can be found in the literature for modeling of NEPCM by AI models. For instance, artificial neural network which is the base of AI is used to predict the thermal conductivity and viscosity of nano encapsulated PCM slurry [27]. They used temperature of the NEPCM and the nano particle concentration as the predictor in their model.…”

Section: Introductionmentioning

confidence: 99%

Latent Heat Prediction of Nano Enhanced Phase Change Material by ANN Method

Jaliliantabar¹,

Mamat²,

Sudhakar³

2022

Energy Engineering

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Thermal characteristics of phase change material (PCM) are important in design and utilization of thermal energy storage or other applications. PCMs have great latent heat but suffer from low thermal conductivity. Then, in recent years, nano particles have been added to PCM to improve their thermophysical properties such as thermal conductivity. Effect of this nano particles on thermophysical properties of PCM has been a question and many experimental and numerical studies have been done to investigate them. Artificial intelligence-based approach can be a good candidate to predict thermophysical properties of nano enhance PCM (NEPCM). Then, in this study an artificial neural network (ANN) has been developed to predict the latent heat of the NEPCM. A comprehensive literature search was conducted to acquire thermal characteristics data from various NEPCM to train and test this artificial neural network model. Twenty different types of Nano particle and paraffin based PCMs were used in ANN development. The most important properties which are used as the input for the developed ANN model are NP size, density of NP, latent heat of PCM, density of PCM, concentration and latent heat of NEPCM in the range of 1-60 nm, 100-8960 kg/m 3 , 89.69-311 kJ/kg, 760 to 1520 kg/m 3 , 0.02-20 wt% and 60.72-338.6 kJ/kg, respectively. The output variable was latent heat of NEPCM. The result indicates that the ANN model can be applied to predict the latent heat of nano enhanced PCM satisfactory. The correlation coefficient of the created model was 0.97. This result shows ability of ANN to predict the latent heat of NEPCM.

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Intelligent modeling of rheological and thermophysical properties of nanoencapsulated PCM slurry

Cited by 13 publications

References 43 publications

A review on recent progresses of nano/micro encapsulated phase change material slurries

A review on recent progresses of nano/micro encapsulated phase change material slurries

Experimental Studies of the Pressure Drop in the Flow of a Microencapsulated Phase-Change Material Slurry in the Range of the Critical Reynolds Number

Latent Heat Prediction of Nano Enhanced Phase Change Material by ANN Method

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